MuleSoft-Integration-Architect-I関連問題資料、MuleSoft-Integration-Architect-Iトレーニング

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Salesforce MuleSoft-Integration-Architect-I 認定試験の出題範囲：

トピック	出題範囲
トピック 1	Applying DevOps Practices and Operating Integration Solutions: Its sub-topics are related to designing CI CD pipelines with MuleSoft plugins, automating interactions with Anypoint Platform, designing logging configurations, and identifying Anypoint Monitoring features.
トピック 2	Designing Integration Solutions to Meet Security Requirements: This topic emphasizes securing access to the Anypoint Platform and APIs, using Anypoint Security, counteracting security vulnerabilities, and understanding audit logging capabilities.
トピック 3	Designing Integration Solutions to Meet Reliability Requirements: It includes selecting alternatives to traditional transactions, recognizing the purpose of various scopes and strategies, differentiating disaster recovery and high availability, and using local and XA transactions.
トピック 4	Designing Integration Solutions to Meet Performance Requirements: This topic covers meeting performance and capacity goals, using streaming features, and processing large message sequences.
トピック 5	Designing Architecture Using Integration Paradigms: This topic focuses on creating high-level integration architectures using various paradigms. It includes API-led connectivity, web APIs and HTTP, event-driven APIs, and message brokers, and designing Mule application using messaging patterns and technologies.
トピック 6	Initiating Integration Solutions on Anypoint Platform: Summarizing MuleSoft Catalyst and Catalyst Knowledge Hub, differentiating between functional and non-functional requirements, selecting features for designing and managing APIs, and choosing deployment options are its sub-topics.
トピック 7	Designing for the Runtime Plane Technology Architecture: It includes analyzing Mule runtime clusters, designing solutions for CloudHub, choosing Mule runtime domains, leveraging Mule 4 class loader isolation, and understanding the reactive event processing model.
トピック 8	Designing Automated Tests for Mule Applications: This topic covers unit test suites, and scenarios for integration and performance testing.

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Salesforce Certified MuleSoft Integration Architect I 認定 MuleSoft-Integration-Architect-I 試験問題 (Q218-Q223):

質問 # 218
What aspects of a CI/CD pipeline for Mute applications can be automated using MuleSoft-provided Maven plugins?

A. Compile, package, unit test, deploy, integration test
B. Compile, package, unit test, validate unit test coverage, deploy
C. Compile, package, unit test, deploy, create associated API instances in API Manager B Import from API designer, compile, package, unit test, deploy, publish to Am/point Exchange

正解：A

質問 # 219
A marketing organization is designing a Mule application to process campaign dat a. The Mule application will periodically check for a file in a SFTP location and process the records in the file. The size of the file can vary from 10MB to 5GB. Due to the limited availabiltty of vCores, the Mule application is deployed to a single CloudHub worker configured with vCore size 0.2.
The application must transform and send different formats of this file to three different downstream SFTP locations.
What is the most idiomatic (used for its intended purpose) and performant way to configure the SFTP operations or event sources to process the large files to support these deployment requirements?

A. Use an in-memory non-repeatable stream
B. Use a file-stored non-repeatable stream
C. Use an in-memory repeatable stream
D. Use a file-stored repeatable stream

正解：C

質問 # 220
A project team uses RAML specifications to document API functional requirements and deliver API definitions. As per the current legal requirement, all designed API definitions to be augmented with an additional non-functional requirement to protect the services from a high rate of requests according to define service level agreements.
Assuming that the project is following Mulesoft API governance and policies, how should the project team convey the necessary non-functional requirement to stakeholders?

A. Add all non functional requirements as comments to RAML specification and publish to exchange
B. Update API definitions with the fragment for the appropriate policy and publish to exchange
C. Create proxies in API manager for the non functional requirement and publish to exchange
D. Create various SLA's in API manager for the non functional requirement and publish to exchange

正解：B

解説：
To ensure that non-functional requirements, such as rate limiting, are clearly communicated and enforced in the designed API definitions, the project team should use API fragments for the appropriate policy. Here's why option D is correct:
* API Governance and Policies: Mulesoft's API governance framework allows the definition and enforcement of policies across APIs to ensure consistency and compliance with organizational standards. These policies can include security, rate limiting, logging, and more.
* Policy Fragments: By updating API definitions with policy fragments, the team can encapsulate the non-functional requirements within the API specification itself. This approach ensures that these requirements are an integral part of the API design and are automatically applied whenever the API is deployed.
* Publishing to Exchange: Publishing the updated API definitions with the policy fragments to Anypoint Exchange makes them available for reuse and ensures that all stakeholders have access to the latest, compliant API specifications.
Example of adding a rate limiting policy fragment to a RAML file:
#%RAML 1.0 title: Example API version: v1 baseUri: https://api.example.com/v1 ... /* Include the rate limiting policy fragment */ uses: rateLimitPolicy: !include rate-limit-policy.raml The rate-limit-policy.raml fragment might define the specific rate limiting rules as per the service level agreements.
References
* MuleSoft API Manager
* Defining and Using API Fragments

質問 # 221
Refer to the exhibit.

One of the backend systems invoked by an API implementation enforces rate limits on the number of requests a particular client can make. Both the backend system and the API implementation are deployed to several non-production environments in addition to production.
Rate limiting of the backend system applies to all non-production environments. The production environment, however, does NOT have any rate limiting.
What is the most effective approach to conduct performance tests of the API implementation in a staging (non-production) environment?

A. Include logic within the API implementation that bypasses invocations of the backend system in a performance test situation. Instead invoking local stubs that replicate typical backend system responses then conduct performance tests using this API Implementation
B. Create a mocking service that replicates the backend system's production performance characteristics. Then configure the API implementation to use the mocking service and conduct the performance tests
C. Use MUnit to simulate standard responses from the backend system then conduct performance tests to identify other bottlenecks in the system
D. Conduct scaled-down performance tests in the staging environment against the rate limited backend system then upscale performance results to full production scale

正解：B

解説：
Correct answer is Create a mocking service that replicates the backend system's production performance characteristics. Then configure the API implementation to use the mocking service and conduct the performance tests
* MUnit is for only Unit and integration testing for APIs and Mule apps. Not for performance Testing, even if it has the ability to Mock the backend.
* Bypassing the backend invocation defeats the whole purpose of performance testing. Hence it is not a valid answer.
* Scaled down performance tests cant be relied upon as performance of API's is not linear against load.

質問 # 222
A global organization operates datacenters in many countries. There are private network links between these datacenters because all business data (but NOT metadata) must be exchanged over these private network connections.
The organization does not currently use AWS in any way.
The strategic decision has Just been made to rigorously minimize IT operations effort and investment going forward.
What combination of deployment options of the Anypoint Platform control plane and runtime plane(s) best serves this organization at the start of this strategic journey?

A. Anypoint Platform - Private Cloud Edition Customer-hosted runtime plane in each datacenter
B. MuleSoft-hosted Anypoint Platform control plane Customer-hosted runtime plane in each datacenter
C. MuleSoft-hosted Anypoint Platform control plane CloudHub Shared Worker Cloud in multiple AWS regions
D. MuleSoft-hosted Anypoint Platform control plane Customer-hosted runtime plane in multiple AWS regions

正解：B

解説：
Correct answer is MuleSoft-hosted Anypoint Platform control plane Customer-hosted runtime plane in each datacenter There are two things to note about the question which can help us figure out correct answer.. * Business data must be exchanged over these private network connections which means we can not use MuleSoft provided Cloudhub option. So we are left with either customer hosted runtime in external cloud provider or customer hosted runtime in their own premises. As customer does not use AWS at the moment. Hence that don't have the immediate option of using Customer-hosted runtime plane in multiple AWS regions. hence the most suitable option for runtime plane is Customer-hosted runtime plane in each datacenter * Metadata has no limitation to reside in organization premises. Hence for control plane MuleSoft hosted Anypoint platform can be used as a strategic solution.
Hybrid is the best choice to start. Mule hosted Control plane and Customer hosted Runtime to start with.
Once they mature in cloud migration, everything can be in Mule hosted.

質問 # 223
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